vivo V2465A
Geekbench AI Score
1952
Single Precision Score
1902
Half Precision Score
2701
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 07:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2465A |
| Model ID | vivo V2465A |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 14.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
1540
286.4 IPS |
|
|
Image Classification (Q)
|
100% |
2187
406.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2328
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
5454
6.47 IPS |
|
|
Object Detection (SP)
|
98% |
1389
110.5 IPS |
|
|
Object Detection (HP)
|
98% |
1374
109.3 IPS |
|
|
Object Detection (Q)
|
83% |
1933
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2916
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
4374
52.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3114
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3144
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4575
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5893
7.65 IPS |
|
|
Style Transfer (HP)
|
89% |
5864
7.61 IPS |
|
|
Style Transfer (Q)
|
98% |
10786
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2719
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.3 IPS |
|
|
Text Classification (HP)
|
99% |
597
797.0 IPS |
|
|
Text Classification (Q)
|
88% |
1041
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
631
22.4 IPS |
